NARS

NARS (Neurosymbolic Autonomous Reasoning System) is an AI framework that combines neural networks' ability to learn patterns from data with symbolic reasoning's logical and explicit knowledge representation. This integration allows NARS to understand complex concepts, adapt to new information, and make reasoning-based decisions, similar to human problem-solving. It aims to offer both the flexibility of machine learning and the clarity of rule-based systems, enabling more robust and explainable AI that can operate effectively across diverse tasks and environments.